This notebook contains a set of analyses for analyzing ZeeGarcia boardgamegeek collection. The bulk of the analysis is focused on building a user-specific predictive model to predict the games that the specified user is likely to own. This enables us to ask questions like, based on the games the user currently owns, what games are a good fit for their collection? What upcoming games are they likely to purchase?
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We can look at a basic description of the number of games that the user owns, has rated, has previously owned, etc.
What years has the user owned/rated games from? While we can’t see when a user added or removed a game from their collection, we can look at their collection by the years in which their games were published.
We can look at the most frequent types of categories, mechanics, designers, and artists that appear in a user’s collection.
We’ll examine a predictive model trained on a user’s collection for games published through 2020. How many games has the user owned/rated/played in the training set (games prior to 2020)?
username | dataset | period | games_owned | games_rated |
ZeeGarcia | training | published before 2020 | 1,510 | 1,901 |
ZeeGarcia | validation | published 2020 | 54 | 80 |
ZeeGarcia | test | published after 2020 | 51 | 44 |
There are two main (binary) outcomes we will be modeling for the user.
The first, owned refers to whether the user currently owns or has previously owned a game in their collection. The second, rated refers to whether the user has rated the game. We will train predictive models to learn the probability that the user will own or play individual games based on their features.
We can examine coefficients from the trained modes, which are penalized logistic regressions fit to our two main outcomes. Positive values indicate that a feature increases a user’s probability of owning/rating a game, while negative values indicate a feature decreases the probability.
Why did the model identify these features? We can make density plots of the important features for predicting whether the user owned a game. Blue indicates the density for games owned by the user, while grey indicates the density for games not owned by the user.
Binary predictors can be difficult to see with this visualization, so we can also directly examine the percentage of games in a user’s collection with a predictor vs the percentage of all games with that predictor.
% of Games with Feature | ||||
username | Feature | In_Collection | All_Games | Ratio |
ZeeGarcia | Artist Vincent Dutrait | 2.5% | 0.2% | 12.23 |
ZeeGarcia | Mechanism Tableau Building | 4.2% | 0.8% | 5.49 |
ZeeGarcia | ZMan Games | 6.7% | 1.9% | 3.55 |
ZeeGarcia | Tricktaking | 4.3% | 1.2% | 3.49 |
ZeeGarcia | Iello | 5.6% | 1.7% | 3.32 |
ZeeGarcia | Asmodee | 9.8% | 3.3% | 2.97 |
ZeeGarcia | Rio Grande Games | 7.5% | 2.7% | 2.82 |
ZeeGarcia | Fantasy Flight Games | 4.4% | 1.7% | 2.56 |
ZeeGarcia | Pegasus Spiele | 7.2% | 3.0% | 2.39 |
ZeeGarcia | Card Drafting | 19.7% | 8.6% | 2.29 |
ZeeGarcia | Set Collection | 28.9% | 13.8% | 2.09 |
ZeeGarcia | Hand Management | 39.3% | 22.0% | 1.78 |
ZeeGarcia | Card Game | 45.7% | 28.4% | 1.61 |
ZeeGarcia | Has Miniatures | 4.4% | 2.9% | 1.53 |
ZeeGarcia | Paper and Pencil | 3.5% | 2.3% | 1.51 |
ZeeGarcia | Games With Solitaire Rules | 10.1% | 7.0% | 1.45 |
ZeeGarcia | Parker Brothers | 2.3% | 2.9% | 0.80 |
ZeeGarcia | Miniatures Game | 2.4% | 5.7% | 0.42 |
ZeeGarcia | Action Dexterity | 1.5% | 5.3% | 0.28 |
ZeeGarcia | Steve Jackson Games | 0.3% | 1.0% | 0.26 |
ZeeGarcia | Childrens Game | 1.8% | 7.1% | 0.25 |
ZeeGarcia | Age Of Reason | 0.2% | 0.9% | 0.22 |
ZeeGarcia | Movement Points | 0.2% | 2.3% | 0.09 |
ZeeGarcia | Wargame | 1.3% | 17.2% | 0.08 |
ZeeGarcia | Simulation | 0.7% | 10.2% | 0.07 |
Before predicting games in upcoming years, we can examine how well the model did and what games it liked in the training set. In this case, we used resampling techniques (cross validation) to ensure that the model had not seen a game before making its predictions.
An easy way to examine the performance of classification model is to view a separation plot. We plot the predicted probabilities from the model for every game (from resampling) from lowest to highest. We then overlay a blue line for any game that the user does own. A good classifier is one that is able to separate the blue (games owned by the user) from the white (games not owned by the user), with most of the blue occurring at the highest probabilities (right side of the chart).
We can display this information in table form, displaying the 100 games with the highest probability of ownership, adding a blue line when the user does own the game.
Published | ID | Name | Pr(Owned) | Owned |
2015 | 177639 | Raptor | 0.998 | yes |
2011 | 103686 | Mundus Novus | 0.997 | yes |
2019 | 265285 | Queenz: To Bee or Not to Bee | 0.996 | yes |
2016 | 200147 | Kanagawa | 0.994 | yes |
2000 | 478 | Citadels | 0.992 | yes |
2014 | 154443 | Madame Ching | 0.991 | yes |
2019 | 244191 | Naga Raja | 0.988 | yes |
2013 | 148290 | Longhorn | 0.986 | yes |
2014 | 155987 | Abyss | 0.983 | yes |
2008 | 33107 | Senji | 0.983 | yes |
2016 | 205610 | A Game of Thrones: Hand of the King | 0.983 | yes |
2015 | 173346 | 7 Wonders Duel | 0.983 | yes |
2005 | 15062 | Shadows over Camelot | 0.979 | yes |
2014 | 161138 | Dragon Run | 0.979 | yes |
2007 | 29030 | Chicago Poker | 0.975 | yes |
2019 | 276042 | Conspiracy: Abyss Universe | 0.971 | yes |
2018 | 239840 | Micropolis | 0.971 | yes |
2009 | 54998 | Cyclades | 0.970 | yes |
2014 | 165662 | Haru Ichiban | 0.968 | yes |
2015 | 176920 | Mission: Red Planet (Second Edition) | 0.968 | yes |
2016 | 190639 | Zany Penguins | 0.965 | yes |
2016 | 182120 | Histrio | 0.964 | yes |
1999 | 50 | Lost Cities | 0.963 | yes |
2003 | 6068 | Queen's Necklace | 0.960 | yes |
2006 | 22141 | Cleopatra and the Society of Architects | 0.958 | yes |
2004 | 10997 | Boomtown | 0.957 | yes |
2010 | 67185 | Sobek | 0.955 | yes |
2006 | 21763 | Mr. Jack | 0.955 | yes |
2009 | 40793 | Dice Town | 0.951 | yes |
2019 | 281960 | Kingdomino Duel | 0.950 | yes |
2005 | 18258 | Mission: Red Planet | 0.949 | yes |
2018 | 242639 | Treasure Island | 0.948 | no |
2013 | 140620 | Lewis & Clark: The Expedition | 0.947 | yes |
2013 | 134453 | The Little Prince: Make Me a Planet | 0.945 | yes |
2012 | 125311 | Okiya | 0.945 | yes |
2018 | 241164 | Jurassic Snack | 0.941 | yes |
2001 | 878 | Wyatt Earp | 0.940 | yes |
2016 | 204583 | Kingdomino | 0.938 | yes |
2016 | 201920 | Pocket Madness | 0.937 | yes |
2016 | 193210 | Dice Stars | 0.934 | yes |
2015 | 163968 | Elysium | 0.934 | yes |
2019 | 265031 | Ice Team | 0.927 | no |
2014 | 154203 | Imperial Settlers | 0.926 | yes |
2009 | 55427 | Mr. Jack in New York | 0.926 | yes |
2004 | 14781 | Drôles de Zèbres | 0.922 | yes |
2012 | 116858 | Noah | 0.920 | yes |
2017 | 232043 | Queendomino | 0.912 | yes |
2016 | 197893 | Crazy Mistigri | 0.912 | no |
2009 | 54043 | Jaipur | 0.911 | yes |
2004 | 10682 | Atlas & Zeus | 0.908 | yes |
2014 | 157354 | Five Tribes | 0.906 | yes |
2013 | 143157 | SOS Titanic | 0.906 | yes |
2012 | 121921 | Robinson Crusoe: Adventures on the Cursed Island | 0.906 | yes |
2014 | 148228 | Splendor | 0.898 | yes |
2019 | 271088 | Ishtar: Gardens of Babylon | 0.894 | yes |
2007 | 28023 | Jamaica | 0.890 | yes |
2013 | 145027 | Pentos | 0.889 | yes |
2018 | 199792 | Everdell | 0.886 | yes |
2013 | 145645 | Le Fantôme de l'Opéra | 0.882 | yes |
2012 | 118048 | Targi | 0.880 | yes |
2012 | 129904 | Shadows over Camelot: The Card Game | 0.877 | no |
2016 | 194523 | HMS Dolores | 0.877 | no |
2006 | 27117 | Animalia | 0.877 | yes |
2018 | 244330 | Scarabya | 0.874 | yes |
2010 | 72287 | Mr. Jack Pocket | 0.872 | yes |
2012 | 119856 | Button Up! | 0.872 | yes |
2014 | 154600 | Desperados of Dice Town | 0.871 | yes |
2019 | 271324 | It's a Wonderful World | 0.870 | yes |
2017 | 234949 | Oliver Twist | 0.868 | no |
2016 | 249414 | Backyard Builders Treehouse | 0.868 | no |
2006 | 28025 | Wicked Witches Way | 0.865 | yes |
2005 | 15512 | Diamant | 0.859 | yes |
2012 | 117942 | Zooloretto: The Dice Game | 0.859 | yes |
2006 | 24845 | Tomahawk | 0.857 | yes |
2016 | 198928 | Pandemic: Iberia | 0.856 | yes |
1995 | 46 | Medici | 0.850 | no |
2002 | 4328 | Tony & Tino | 0.850 | yes |
2009 | 29096 | Letter of Marque | 0.849 | no |
2019 | 260710 | Amul | 0.845 | no |
2008 | 34635 | Stone Age | 0.845 | no |
2000 | 823 | The Lord of the Rings | 0.842 | yes |
2009 | 45134 | Arcana | 0.841 | yes |
2002 | 4329 | Drake & Drake | 0.841 | yes |
2010 | 81453 | Famiglia | 0.839 | yes |
2003 | 6554 | Lawless | 0.839 | yes |
2011 | 90919 | PRRRT... | 0.837 | yes |
2019 | 285774 | Marvel Champions: The Card Game | 0.835 | yes |
2019 | 265736 | Tiny Towns | 0.832 | no |
2016 | 205637 | Arkham Horror: The Card Game | 0.831 | yes |
2014 | 156336 | Onirim (Second Edition) | 0.830 | yes |
2002 | 4327 | War & Sheep | 0.829 | yes |
2012 | 130004 | Think Again! | 0.822 | yes |
2018 | 247963 | Fist of Dragonstones: The Tavern Edition | 0.821 | no |
2010 | 68448 | 7 Wonders | 0.819 | yes |
2017 | 213893 | Yamataï | 0.816 | yes |
2008 | 38984 | Mow | 0.814 | yes |
2019 | 284083 | The Crew: The Quest for Planet Nine | 0.811 | no |
2012 | 128063 | Uchronia | 0.801 | yes |
2014 | 158742 | Yardmaster Express | 0.799 | yes |
2016 | 192735 | Broom Service: The Card Game | 0.798 | yes |
We can also more formally assess how well the model did in resampling by looking at the area under the receiver operating characteristic. A perfect model would receive a score of 1, while a model that cannot predict the outcome will default to a score of 0.5. The extent to which something is a good score depends on the setting, but generally anything in the .8 to .9 range is very good while the .7 to .8 range is perfectly acceptable.
Another way to think about the model performance is to view its lift, or its ability to detect the positive outcomes over that of a null model. High lift indicates the model can much more quickly find all of the positive outcomes (in this case, games owned or played by the user), while a model with no lift is no better than random guessing. A gains chart is another way to view this.
What games does the model think ZeeGarcia is most likely to own that are not in their collection?
Published | ID | Name | Pr(Owned) | Owned |
2018 | 242639 | Treasure Island | 0.948 | no |
2019 | 265031 | Ice Team | 0.927 | no |
2016 | 197893 | Crazy Mistigri | 0.912 | no |
2012 | 129904 | Shadows over Camelot: The Card Game | 0.877 | no |
2016 | 194523 | HMS Dolores | 0.877 | no |
What games does the model think ZeeGarcia is least likely to own that are in their collection?
Published | ID | Name | Pr(Owned) | Owned |
400 | 2136 | Pachisi | 0.003 | yes |
2007 | 28843 | 300: The Board Game | 0.005 | yes |
2014 | 165401 | Wir sind das Volk! | 0.009 | yes |
1999 | 2922 | Chairs | 0.011 | yes |
2002 | 3977 | Strong Stuff! | 0.011 | yes |
Top 25 games most likely to be owned by the user in each year, highlighting in blue the games that the user has owned.
rank | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 |
1 | Okiya | Longhorn | Madame Ching | Raptor | Kanagawa | Queendomino | Micropolis | Queenz: To Bee or Not to Bee |
2 | Noah | Lewis & Clark: The Expedition | Abyss | 7 Wonders Duel | A Game of Thrones: Hand of the King | Oliver Twist | Treasure Island | Naga Raja |
3 | Robinson Crusoe: Adventures on the Cursed Island | The Little Prince: Make Me a Planet | Dragon Run | Mission: Red Planet (Second Edition) | Zany Penguins | Yamataï | Jurassic Snack | Conspiracy: Abyss Universe |
4 | Targi | SOS Titanic | Haru Ichiban | Elysium | Histrio | The Quest for El Dorado | Everdell | Kingdomino Duel |
5 | Shadows over Camelot: The Card Game | Pentos | Imperial Settlers | Mysterium | Kingdomino | Lovecraft Letter | Scarabya | Ice Team |
6 | Button Up! | Le Fantôme de l'Opéra | Five Tribes | Sylvion | Pocket Madness | Codenames: Duet | Fist of Dragonstones: The Tavern Edition | Ishtar: Gardens of Babylon |
7 | Zooloretto: The Dice Game | Rise of Augustus | Splendor | Arboretum | Dice Stars | Pandemic Legacy: Season 2 | Imaginarium | It's a Wonderful World |
8 | Think Again! | Glass Road | Desperados of Dice Town | The Game | Crazy Mistigri | Paper Tales | Fool! | Amul |
9 | Uchronia | Cardline: Globetrotter | Onirim (Second Edition) | Oh My Goods! | HMS Dolores | Pyramids | Underwater Cities | Marvel Champions: The Card Game |
10 | Africana | Bruges | Yardmaster Express | Codenames | Backyard Builders Treehouse | Gloomhaven | Pandemic: Fall of Rome | Tiny Towns |
11 | Ginkgopolis | Legacy: The Testament of Duke de Crecy | Sheriff of Nottingham | New York 1901 | Pandemic: Iberia | Majesty: For the Realm | Don't Mess with Cthulhu Deluxe | The Crew: The Quest for Planet Nine |
12 | Mafia: Vendetta | Patchistory | Nations: The Dice Game | Plums | Arkham Horror: The Card Game | The Fox in the Forest | Gizmos | Wingspan |
13 | Il Vecchio | Pathfinder Adventure Card Game: Rise of the Runelords – Base Set | Pandemic: The Cure | Dale of Merchants | Broom Service: The Card Game | Zooloretto Duell | KeyForge: Call of the Archons | Three-Dragon Ante: Legendary Edition |
14 | Android: Netrunner | Thebes: The Tomb Raiders | Chimera | Discoveries: The Journals of Lewis & Clark | Pandemic: Reign of Cthulhu | Bunny Kingdom | Dragons | Museum |
15 | Urbion | UGO! | La Granja | Broom Service | Roll Player | Codenames: Disney – Family Edition | Imhotep: The Duel | Atlantis Rising (Second Edition) |
16 | The Hobbit Card Game | The Phantom Society | Roll Through the Ages: The Iron Age | Blood Rage | Citadels | Break the Code | Railroad Ink: Blazing Red Edition | Fantastic Factories |
17 | Lucky Numbers | Asante | Camel Up | Valley of the Kings: Afterlife | Archaeology: The New Expedition | Pandemic: Rising Tide | Decrypto | Imperial Settlers: Empires of the North |
18 | OddVille | Tash-Kalar: Arena of Legends | Smash Up: Science Fiction Double Feature | Dead Man's Draw | When I Dream | Ex Libris | Lords of Hellas | Era: Medieval Age |
19 | Seasons | Händler der Karibik | Port Royal | Holmes: Sherlock & Mycroft | Bloodborne: The Card Game | Harvest Dice | The Pirate Republic | Unmatched: Battle of Legends, Volume One |
20 | Legends of Andor | Smash Up: The Obligatory Cthulhu Set | Roll for the Galaxy | Joraku | Inis | Tybor the Builder | Sprawlopolis | Noctiluca |
21 | Crazy Creatures of Dr. Gloom | Room 25 | San Juan (Second Edition) | Pandemic Legacy: Season 1 | Virulence: An Infectious Card Game | Smash Up: What Were We Thinking? | Azul: Stained Glass of Sintra | Gates of Delirium |
22 | Divinare | Piñata | DungeonQuest Revised Edition | 504 | Agricola (Revised Edition) | Star Wars: Destiny – Two-Player Game | Yellow & Yangtze | Unmatched: Robin Hood vs. Bigfoot |
23 | Eight-Minute Empire | Sushi Go! | Linko! | Lanterns: The Harvest Festival | Medici: The Card Game | Pirate 21 | Narabi | Villagers |
24 | Kairo | Gravwell: Escape from the 9th Dimension | Greed | Bastion | Star Wars: Destiny | Fast Forward: FEAR | Solenia | On Tour |
25 | Among the Stars | BANG! The Dice Game | Noble Treachery: The Last Alliance | It's Mine | Covert | NMBR 9 | Rising Sun | Trails of Tucana |
Interactive table for predictions from resampling.
We’ll validate the model by looking at its predictions for games published in 2020. That is, how well did a model trained on a user’s collection through 2020 perform in predicting games for the user in 2020?
username | outcome | dataset | method | .metric | .estimate |
ZeeGarcia | owned | validation | glmnet | roc_auc | 0.733 |
Table of top 50 games from 2020, highlighting games that the user owns.
Published | ID | Name | Pr(Owned) | Owned |
2020 | 323262 | Velonimo | 0.969 | yes |
2020 | 265784 | Cleopatra and the Society of Architects: Deluxe Edition | 0.960 | yes |
2020 | 297666 | Jurassic Brunch | 0.955 | yes |
2020 | 297661 | Gold River | 0.954 | yes |
2020 | 292917 | Mosquito Show | 0.914 | no |
2020 | 316377 | 7 Wonders (Second Edition) | 0.883 | yes |
2020 | 288169 | The Fox in the Forest Duet | 0.851 | no |
2020 | 303672 | Trek 12: Himalaya | 0.793 | yes |
2020 | 291511 | Medici: The Dice Game | 0.769 | no |
2020 | 285071 | Ugly Christmas Sweaters | 0.728 | no |
2020 | 313531 | Rustling Leaves | 0.690 | no |
2020 | 300010 | Dragomino | 0.689 | no |
2020 | 291457 | Gloomhaven: Jaws of the Lion | 0.667 | yes |
2020 | 293678 | Stellar | 0.636 | no |
2020 | 298572 | Cosmic Encounter Duel | 0.629 | no |
2020 | 245659 | Vampire: The Masquerade – Vendetta | 0.626 | no |
2020 | 256509 | The One Hundred Torii | 0.621 | no |
2020 | 301919 | Pandemic: Hot Zone – North America | 0.619 | yes |
2020 | 325635 | Unmatched: Little Red Riding Hood vs. Beowulf | 0.608 | no |
2020 | 307844 | Atheneum: Mystic Library | 0.603 | no |
2020 | 293556 | Gloomy Graves | 0.596 | no |
2020 | 295957 | Holi: Festival of Colors | 0.586 | no |
2020 | 296512 | The Game: Quick & Easy | 0.579 | yes |
2020 | 314040 | Pandemic Legacy: Season 0 | 0.560 | yes |
2020 | 318983 | Faiyum | 0.540 | no |
2020 | 304285 | Infinity Gauntlet: A Love Letter Game | 0.519 | yes |
2020 | 288513 | Tranquility | 0.507 | no |
2020 | 294484 | Unmatched: Cobble & Fog | 0.501 | no |
2020 | 296667 | Vintage | 0.489 | no |
2020 | 245658 | Unicorn Fever | 0.489 | no |
2020 | 293296 | Splendor: Marvel | 0.484 | no |
2020 | 299169 | Spicy | 0.472 | no |
2020 | 298017 | Treelings | 0.471 | no |
2020 | 286236 | Poisons | 0.470 | no |
2020 | 324345 | キャットインザボックス (Cat in the box) | 0.461 | no |
2020 | 266188 | Seven Bridges | 0.452 | no |
2020 | 298371 | Wild Space | 0.452 | no |
2020 | 298376 | MEOW | 0.445 | no |
2020 | 300930 | Schotten Totten 2 | 0.437 | no |
2020 | 300531 | Paleo | 0.434 | yes |
2020 | 306481 | Tawantinsuyu: The Inca Empire | 0.430 | no |
2020 | 270109 | Iwari | 0.425 | yes |
2020 | 229782 | Roland Wright: The Dice Game | 0.424 | no |
2020 | 300099 | Animix | 0.417 | no |
2020 | 313698 | Monster Expedition | 0.413 | no |
2020 | 309862 | Gudetama: The Tricky Egg Card Game | 0.403 | no |
2020 | 293836 | Hagakure | 0.402 | no |
2020 | 301880 | Raiders of Scythia | 0.401 | no |
2020 | 295948 | Aqualin | 0.400 | no |
2020 | 298047 | Marvel United | 0.398 | yes |
We can then refit our model to the training and validation set in order to predict all upcoming games for the user.
Examine the top 50 games for upcoming games, highlighting in blue ones the user already.
Published | ID | Name | Pr(Owned) | Owned |
2021 | 332944 | Sobek: 2 Players | 0.977 | yes |
2021 | 334644 | Nicodemus | 0.842 | yes |
2021 | 303676 | Oh My Brain | 0.814 | yes |
2021 | 329714 | Dreadful Circus | 0.786 | no |
2021 | 340041 | Kingdomino Origins | 0.769 | yes |
2021 | 344415 | Trek 12: Amazonia | 0.755 | no |
2021 | 331059 | Last Message | 0.682 | no |
2021 | 295607 | Canopy | 0.671 | yes |
2022 | 349067 | The Lord of the Rings: The Card Game – Revised Core Set | 0.659 | no |
2021 | 297129 | Jekyll vs. Hyde | 0.656 | yes |
2021 | 324856 | The Crew: Mission Deep Sea | 0.656 | no |
2021 | 340466 | Unfathomable | 0.643 | no |
2021 | 341358 | INSERT | 0.600 | no |
2021 | 275044 | Glow | 0.567 | yes |
2021 | 290236 | Canvas | 0.561 | no |
2021 | 291859 | Riftforce | 0.561 | no |
2021 | 329084 | Space Dragons | 0.526 | no |
2021 | 333553 | For the King (and Me) | 0.518 | no |
2021 | 282776 | Tumble Town | 0.504 | no |
2021 | 329529 | Magellan: Elcano | 0.497 | no |
2021 | 329670 | Pandemic: Hot Zone – Europe | 0.494 | no |
2021 | 306881 | Railroad Ink Challenge: Lush Green Edition | 0.490 | no |
2021 | 322014 | All-Star Draft | 0.487 | no |
2021 | 342848 | World of Warcraft: Wrath of the Lich King | 0.473 | no |
2021 | 314491 | Meadow | 0.468 | no |
2021 | 312618 | Flourish | 0.468 | no |
2021 | 340834 | Gravwell: 2nd Edition | 0.458 | no |
2021 | 310031 | Whale Riders: The Card Game | 0.457 | yes |
2021 | 285967 | Ankh: Gods of Egypt | 0.441 | yes |
2021 | 330608 | Cryo | 0.439 | no |
2022 | 304051 | Creature Comforts | 0.437 | no |
2021 | 286667 | Tutankhamun | 0.434 | no |
2021 | 333055 | Subastral | 0.424 | no |
2021 | 314088 | Agropolis | 0.424 | no |
2021 | 339789 | Welcome to the Moon | 0.421 | no |
2021 | 331635 | Kameloot | 0.420 | no |
2022 | 305096 | Endless Winter: Paleoamericans | 0.417 | no |
2021 | 305761 | Whale Riders | 0.409 | yes |
2021 | 313262 | Shamans | 0.406 | no |
2021 | 304783 | Hadrian's Wall | 0.403 | no |
2021 | 324242 | Sheepy Time | 0.398 | no |
2021 | 341427 | Télos | 0.394 | no |
2021 | 310198 | Escape: Roll & Write | 0.392 | no |
2022 | 308028 | Drop Drive | 0.390 | no |
2021 | 299255 | Vienna Connection | 0.382 | no |
2021 | 335541 | We Care: a Grizzled Game | 0.366 | no |
2021 | 293835 | Oltréé | 0.361 | no |
2021 | 339905 | Love Letter: Princess Princess Ever After | 0.361 | no |
2021 | 336382 | Marvel United: X-Men | 0.361 | no |
2021 | 335678 | Let's Make a Bus Route: The Dice Game | 0.358 | yes |